Shimp C P
University of Utah.
J Exp Anal Behav. 1992 May;57(3):289-99. doi: 10.1901/jeab.1992.57-289.
A computational processing behavior-dynamic model was instantiated in the form of a computer program that "behaved" on the task developed by Nevin (1969). In this classic discrete-trials experiment, the relative frequency of choosing a response alternative matched the relative frequency of reinforcement for that alternative, the local structure of responding was opposite that predicted by momentary maximizing (i.e., the probability of a changeover decreased with run length), and absolute and relative response rates varied independently. The behavior-dynamic model developed here qualitatively reproduced these three results (but not in quantitative and specific detail) and also generated some interesting, as-yet-untested predictions about performance in Nevin's task. The model was discussed as an example of a stochastic behavior-dynamic alternative to algebraic behavior theory.
一个计算处理行为动力学模型以计算机程序的形式实例化,该程序在由内文(1969年)开发的任务上“表现”。在这个经典的离散试验实验中,选择一个反应选项的相对频率与该选项的强化相对频率相匹配,反应的局部结构与瞬间最大化预测的相反(即转换概率随运行长度而降低),绝对和相对反应率独立变化。这里开发的行为动力学模型定性地再现了这三个结果(但不是在定量和具体细节上),并且还产生了一些关于内文任务中表现的有趣的、尚未经过测试的预测。该模型作为代数行为理论的随机行为动力学替代方案的一个例子进行了讨论。